[treebeard901]

One thing that makes OpenAI so valuable over time is how they can take all of this expert input from the rush to test out the new technology and use that to exponentially improve the next model. You have to think, just like we see here, experts in their field who know all of these edge cases or other fundamental aspects of what makes their own companies or projects valuable and they tend to hand that over in the process.

It's kind if interesting how far this could be taken with all kinds of valuable information from people and companies, especially code and business logic. Everyone wants to say AI this and AI that to keep up with the times and they all keep dumping all of this valuable data in for free.

Then consider the authentication method used tied to this data collection and if you are using a company emial, etc, it helps them weed out the garbage too.

I guess we can't fight progress...

[bigEnotation]

I think you’re forgetting about the use case where the LLM returns something partially correct to a discerning expert, who is still able to use the response, but does not bother with a message like “btw I had to do X to make your suggestions usable”.

[CuriouslyC]

That might be true, but my feeling so far is that OpenAI doesn't want to do what they'd need to do to make any one product actually good, so they're going to keep bouncing from AI thing to thing, making foundation models that have a lot of wow factor but can't really deliver on their promise because they're too closed off to integrate into a workflow that might alleviate the issues.

Other people will try to build on OpenAI stuff, find that it's not quite good enough and OpenAI doesn't care to really make it good enough because it's a lot of work, and it won't be until we get competitors that take less sexy model tech and take the time to make it REALLY GOOD at certain things that AI really makes good on its promise. I'm guessing that will be driven by people taking open source tools that are ~80% of the way there and really building a system and domain logic around it to make it excellent.